Plot cluster fit-review metrics

Plot cluster fit-review metrics

Usage

PlotClusterFitReview(
  fit_table,
  x = "Classes",
  metrics = NULL,
  group = NULL,
  title = "Candidate model review"
)

Arguments

fit_table

Candidate-model fit table.

x

Candidate-count column name.

metrics

Numeric metric columns to display. When NULL, a concise set of decision-relevant raw metrics is selected automatically.

group

Optional candidate-family column, such as "Model" for Mclust or "Epsilon" for HDBSCAN. When NULL, it is inferred when possible.

title

Plot title.

Value

A ggplot object.

Examples

# \donttest{
data(SimulatedPhenotypeData)
df_Training <- dplyr::filter(SimulatedPhenotypeData, .data$Cohort == "Training")
model <- CreateClusterModel_KMeans(
  df_Training, paste0("Var", 1:12), k_range = 2:4
)
PlotClusterFitReview(model$ModelInfo$fit_table)

# }